Heterogeneous Computing Architectures (eBook, PDF)

Challenges and Vision
Redaktion: Terzo, Olivier; Pezuela, Clara; Scionti, Alberto; Djemame, Karim

• Format: PDF

Produktbeschreibung

Heterogeneous Computing Architectures: Challenges and Vision provides an updated vision of the state-of-the-art of heterogeneous computing systems, covering all the aspects related to their design: from the architecture and programming models to hardware/software integration and orchestration to real-time and security requirements.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 338
• Erscheinungstermin: 10. September 2019
• Englisch
• ISBN-13: 9780429680045
• Artikelnr.: 57694555

Autorenporträt

Olivier Terzo is Head of the Advanced Computing and Electromagnetics (ACE) Research Area at Leading Innovation & Knowledge for Society (LINKS) Foundation. Karim Djemame is a Professor at the School of Computing and is the co-founder of the Heterogeneous Hardware & Software Alliance (HH&S), an initiative undertaken by the Transparent heterogeneous hardware Architecture deployment for eNergy Gain in Operation (TANGO) project. Alberto Scionti is a Senior Researcher in the Advanced Computing and Electromagnetics (ACE) Research Area at Leading Innovation & Knowledge for Society (LINKS) Foundation. Clara Pezuela is the Head of IT Market at Research and Innovation Group in Atos. She is also the President of PLANETIC, the Spanish technology platform for the adoption and promotion of ICT in Spain.

Inhaltsangabe

Preface. Acknowledgements. About the Editors. Contributors. Heterogeneous
Data Center Architectures: Software&Hardware Integration and Orchestration
Aspects. Modular Operating Systems for Large Scale, Distributed and
Heterogeneous Environments. Programming and Architecture Models.
Simplifying Parallel Programming and Execution for Distributed
Heterogeneous Computing Platforms. Design-time Tooling to Guide Programming
for Embedded Heterogeneous Hardware Platforms. Middleware, Infrastructure
Management and Self-Reconfiguration for Heterogeneous Parallel Architecture
Environments. A Novel Framework for Utilising Multi-FPGAs in HPC Systems. A
Quantitative Comparison for Image Recognition on Accelerated Heterogeneous
Cloud Infrastructures. Machine Learning on Low-Power Low-Cost Platforms: an
Application Case Study. Security for Heterogeneous Systems. Real-Time
Heterogeneous Platforms. Future Challenges in Heterogeneity. Bibliography.
Index